Hang Feng Stock Forecast - Simple Regression
| FOFO Stock | 5.71 0.31 5.15% |
Hang Stock outlook is based on your current time horizon. Although Hang Feng's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Hang Feng's systematic risk associated with finding meaningful patterns of Hang Feng fundamentals over time.
As of today, the relative strength index (RSI) of Hang Feng's share price is approaching 36. This usually indicates that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Hang Feng, making its price go up or down. Momentum 36
Sell Extended
Oversold | Overbought |
Using Hang Feng hype-based prediction, you can estimate the value of Hang Feng Technology from the perspective of Hang Feng response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Hang Feng Technology on the next trading day is expected to be 6.34 with a mean absolute deviation of 1.10 and the sum of the absolute errors of 67.01. Hang Feng after-hype prediction price | USD 6.58 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Hang Feng to cross-verify your projections. Hang Feng Additional Predictive Modules
Most predictive techniques to examine Hang price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Hang using various technical indicators. When you analyze Hang charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Hang Feng Simple Regression Price Forecast For the 28th of January
Given 90 days horizon, the Simple Regression forecasted value of Hang Feng Technology on the next trading day is expected to be 6.34 with a mean absolute deviation of 1.10, mean absolute percentage error of 1.65, and the sum of the absolute errors of 67.01.Please note that although there have been many attempts to predict Hang Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Hang Feng's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Hang Feng Stock Forecast Pattern
| Backtest Hang Feng | Hang Feng Price Prediction | Buy or Sell Advice |
Hang Feng Forecasted Value
In the context of forecasting Hang Feng's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Hang Feng's downside and upside margins for the forecasting period are 0.06 and 14.82, respectively. We have considered Hang Feng's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Hang Feng stock data series using in forecasting. Note that when a statistical model is used to represent Hang Feng stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 118.609 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.0985 |
| MAPE | Mean absolute percentage error | 0.1204 |
| SAE | Sum of the absolute errors | 67.0057 |
Predictive Modules for Hang Feng
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hang Feng Technology. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Hang Feng After-Hype Price Density Analysis
As far as predicting the price of Hang Feng at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Hang Feng or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Hang Feng, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Hang Feng Estimiated After-Hype Price Volatility
In the context of predicting Hang Feng's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Hang Feng's historical news coverage. Hang Feng's after-hype downside and upside margins for the prediction period are 0.33 and 15.13, respectively. We have considered Hang Feng's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Hang Feng is very risky at this time. Analysis and calculation of next after-hype price of Hang Feng Technology is based on 3 months time horizon.
Hang Feng Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Hang Feng is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Hang Feng backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Hang Feng, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.87 | 8.48 | 0.86 | 0.15 | 3 Events / Month | 5 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
5.71 | 6.58 | 15.24 |
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Hang Feng Hype Timeline
Hang Feng Technology is currently traded for 5.71. The entity has historical hype elasticity of 0.86, and average elasticity to hype of competition of 0.15. Hang is forecasted to increase in value after the next headline, with the price projected to jump to 6.58 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is projected to be 15.24%, whereas the daily expected return is currently at -0.87%. The volatility of related hype on Hang Feng is about 4955.84%, with the expected price after the next announcement by competition of 5.86. Note, when we think about Hang Feng's use of debt, we should always consider it together with its cash and equity.Given the investment horizon of 90 days the next forecasted press release will be in about 3 days. Check out Historical Fundamental Analysis of Hang Feng to cross-verify your projections.Hang Feng Related Hype Analysis
Having access to credible news sources related to Hang Feng's direct competition is more important than ever and may enhance your ability to predict Hang Feng's future price movements. Getting to know how Hang Feng's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Hang Feng may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| BMHL | Bluemount Holdings Limited | (0.07) | 2 per month | 5.02 | 0.04 | 8.75 | (7.77) | 34.74 | |
| PFX | Phenixfin | 1.76 | 5 per month | 0.00 | (0.11) | 2.45 | (2.82) | 10.53 | |
| GECC | Great Elm Capital | 0.13 | 8 per month | 2.41 | (0.03) | 2.89 | (4.72) | 9.09 | |
| OPPJ | WisdomTree Japan Opportunities | (0.17) | 2 per month | 0.87 | 0.15 | 1.99 | (1.79) | 4.21 | |
| NXC | Nuveen California Select | 0.04 | 6 per month | 0.21 | (0.11) | 0.68 | (0.46) | 1.98 | |
| MAAS | Highest Performances Holdings | (0.35) | 3 per month | 3.59 | 0.17 | 8.26 | (6.17) | 20.85 | |
| GRAN | Grande Group Limited | (0.06) | 4 per month | 6.73 | 0.04 | 13.37 | (12.76) | 49.67 | |
| HNNA | Hennessy Ad | 0.10 | 10 per month | 1.46 | 0.12 | 2.77 | (2.50) | 10.92 | |
| OFS | OFS Capital Corp | 0.16 | 9 per month | 0.00 | (0.14) | 4.51 | (5.92) | 16.14 |
Other Forecasting Options for Hang Feng
For every potential investor in Hang, whether a beginner or expert, Hang Feng's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Hang Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Hang. Basic forecasting techniques help filter out the noise by identifying Hang Feng's price trends.Hang Feng Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Hang Feng stock to make a market-neutral strategy. Peer analysis of Hang Feng could also be used in its relative valuation, which is a method of valuing Hang Feng by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Hang Feng Market Strength Events
Market strength indicators help investors to evaluate how Hang Feng stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Hang Feng shares will generate the highest return on investment. By undertsting and applying Hang Feng stock market strength indicators, traders can identify Hang Feng Technology entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.95 | |||
| Day Median Price | 5.71 | |||
| Day Typical Price | 5.71 | |||
| Price Action Indicator | (0.15) | |||
| Period Momentum Indicator | (0.31) | |||
| Relative Strength Index | 36.71 |
Hang Feng Risk Indicators
The analysis of Hang Feng's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Hang Feng's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hang stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 5.56 | |||
| Standard Deviation | 8.37 | |||
| Variance | 70.04 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Hang Feng
The number of cover stories for Hang Feng depends on current market conditions and Hang Feng's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Hang Feng is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Hang Feng's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of Hang Feng to cross-verify your projections. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Is Consulting Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Hang Feng. If investors know Hang will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Hang Feng listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Hang Feng Technology is measured differently than its book value, which is the value of Hang that is recorded on the company's balance sheet. Investors also form their own opinion of Hang Feng's value that differs from its market value or its book value, called intrinsic value, which is Hang Feng's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Hang Feng's market value can be influenced by many factors that don't directly affect Hang Feng's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Hang Feng's value and its price as these two are different measures arrived at by different means. Investors typically determine if Hang Feng is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hang Feng's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.